Sökning: "Känslodetektion"

Hittade 2 uppsatser innehållade ordet Känslodetektion.

1. 1. Design an emotionally positive experience via sentiment classification for social media recommendation systems : A case study in TikTok

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yawen Deng; [2023]
   Nyckelord :recommendation system; social application; sentiment classification; emotions; UX; rekommendationssystem; social tillämpning; känslolägesklassificering; känslor; UX;

   Sammanfattning : Recommendation system benefits social media by attracting users with the posts they prefer. The recommended posts, however, may not align with what users really need to browse, especially in terms of emotion. LÄS MER

3. 2. Emotion Detection from Electroencephalography Data with Machine Learning : Classification of emotions elicited by auditory stimuli from music on self-collected data sets

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Filip Söderqvist; [2021]
   Nyckelord :Electroencephalography; Deep learning; Machine learning; Likeability; Valence; Arousal; Emotion detection; Elektroencefalografi; Djupinlärning; Maskininlärning; Omtyckthet; Valens; Aktiveringsgrad; Känslodetektion;

   Sammanfattning : The recent advances in deep learning have made it state-of-the-art for many different tasks, making its potential usefulness for analyzing electroencephalography (EEG) data appealing. This study aims at automatic feature extraction and classification of likeability, valence, and arousal elicited by auditory stimuli from music by training deep neural networks (DNNs) on  minimally pre-processed multivariate EEG time series. LÄS MER